14 December 2018

• Fabio Cermelli. The RGB-D Triathlon Challenge: Towards Agile Visual Toolboxes for Robots. Rel. Fabrizio Lamberti, Paolo Montuschi, Barbara Caputo, Massimiliano Mancini. Politecnico di Torino, Master of science program in Computer Engineering, 2018
  

  

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25 October 2019

• Emanuele Alberti. Deep Semantic Segmentation across environments for Autonomous Driving. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2019
• Dario Fontanel. Improving representations for Incremental Class Learning. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2019
• Antonio Tavera. Steps towards Autonomous Driving: Deep Semantic Segmentation among vehicle viewpoints. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2019
• Stefano Zamboni. Steps towards autonomous driving: deep semantic segmentation among weather conditions. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2019

18 December 2019

• Davide Liberato Manna. Road Feature Extraction With Deep Learning Methods. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2019
• Valerio Sofi. Robust place categorization with deep self supervised methods. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2019
  

  

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• Antonio Alliegro. Self-Supervised Generalization on Real-World 3D Point Clouds. Rel. Tatiana Tommasi, Barbara Caputo, Davide Boscaini. Politecnico di Torino, Master of science program in Computer Engineering, 2019
  

  

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• Piero Cavalcanti. Towards Visual Generalization with Graph Deep Learning. Rel. Tatiana Tommasi, Barbara Caputo, Davide Boscaini. Politecnico di Torino, Master of science program in Computer Engineering, 2019
  

  

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• Francesco Cappio Borlino. Visual object detection across different domains by solving self supervised tasks. Rel. Barbara Caputo, Tatiana Tommasi, Antonio D'Innocente. Politecnico di Torino, Master of science program in Computer Engineering, 2019
  

  

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31 March 2020

• Rocco Italiano. Automotive use cases: from the real time data ingestion to the data analysis of connected vehicles. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2020
  

  

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• Valerio Paolicelli. CNN-based method with self-supervision for visual place recognition. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2020
  

  

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• Gabriele Moreno Berton. CNN-based method with self-supervision for visual place recognition. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2020
  

  

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• Simone Desogus. Clustering feedback data with Logistic Network Lasso. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2020
  

  

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• Luca Robbiano. Deep Domain Adaptation through Inter-modal Self-supervision. Rel. Barbara Caputo, Mirco Planamente, Mohammadreza Loghmani. Politecnico di Torino, Master of science program in Computer Engineering, 2020
  

  

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• Alberto Giacomini. Semantic Simultaneous Localization based on deep-learning algorithm, Mapping and Tracking. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2020
  

  

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28 July 2020

• Matteo D'Ospina. GEOMETRY OF MULTI-AGENTS SIMULATION. Rel. Barbara Caputo, Matteo Caorsi. Politecnico di Torino, Master of science program in Computer Engineering, 2020
  

  

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23 October 2020

• Giuseppe Pastore. On the importance of Pseudo-Labeling for Generalized Zero-Shot Semantic Segmentation. Rel. Barbara Caputo, Matteo Matteucci, Massimiliano Mancini, Fabio Cermelli. Politecnico di Torino, Master of science program in Computer Engineering, 2020
• Debora Caldarola. Towards Real World Federated Learning. Rel. Barbara Caputo, Fabio Galasso, Massimiliano Mancini. Politecnico di Torino, Master of science program in Computer Engineering, 2020

18 December 2020

• Gilberto Vilar De Carvalho Santos. Feature importance analysis for User Lifetime Value prediction in games using Machine Learning: an exploratory approach. Rel. Barbara Caputo, Giuseppe Rizzo. Politecnico di Torino, Master of science program in Mechatronic Engineering, 2020
  

  

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• Alberto Benincasa. An LSTM-based model to Trading Energy Stocks. Rel. Barbara Caputo, Giuseppe Rizzo. Politecnico di Torino, Master of science program in Computer Engineering, 2020
  

  

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16 April 2021

• Emanuele Munafo'. Efficient and scalable visual place recognition. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2021
  

  

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5 October 2021

• Lidia Fantauzzo. On the Challenges of Federated Learning in Semantic Segmentation across Domains. Rel. Barbara Caputo, Debora Caldarola, Fabio Cermelli, Antonio Tavera. Politecnico di Torino, Master of science program in Mathematical Engineering, 2021

26 October 2021

• Valerio Di Eugenio. AI-enabled AOI: a Deep Learning-based innovative approach to improve the manufacturing processes. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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• Gabriele Trivigno. Deep learning for Sequence-based Visual Geo-localization. Rel. Barbara Caputo, Carlo Masone, Nicola Gatti. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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• Gabriele Goletto. EVEgo: Egocentric Event-data for cross-domain analysis in first-person action recognition. Rel. Barbara Caputo, Mirco Planamente, Chiara Plizzari, Matteo Matteucci. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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• Emanuele Gusso. EVEgo: Egocentric Event-data for cross-domain analysis in first-person action recognition. Rel. Barbara Caputo, Mirco Planamente, Chiara Plizzari, Marcello Restelli. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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• Amir Salimi. Human Moving 3D Pose Generation Using Conditional Variational Autoencoder. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Computer Engineering, 2021
• Eros Fani'. On the Challenges of Class Imbalance in Federated Learning for Semantic Segmentation. Rel. Barbara Caputo, Debora Caldarola, Fabio Cermelli, Antonio Tavera. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
• Gilberto Manunza. On the Impact of Adversarial Training on Uncertainty Estimation and Uncertainty Targeted Attacks. Rel. Barbara Caputo, Martin Jaggi, Matteo Matteucci. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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• Alessio Cappellato. Towards Context based Monocular Depth Estimation. Rel. Barbara Caputo, Nicola Gatti, Sabine Süsstrunk. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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• Gabriele Tiboni. Towards safe and efficient transfer of robot policies from simulation to real world. Rel. Barbara Caputo, Ville Kyrki. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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• Niccolo' Cavagnero. Xpective Dataset: Towards Robust Pose Estimation with Radar Sensing. Rel. Barbara Caputo, Dario Fontanel. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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17 December 2021

• Roberto Franceschi. Deep Learning-Based Radar Detector for Complex Automotive Scenarios. Rel. Barbara Caputo, Dmytro Rachkov. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
• Riccardo Mereu. A Study on Deep Learning Approaches for Visual Geo-localization. Rel. Barbara Caputo, Carlo Masone. Politecnico di Torino, Master of science program in Data Science And Engineering, 2021
  

  

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13 April 2022

• Lucia Innocenti. Audio-Visual Human Activity Recognition for Humanoid Robotics. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
  

  

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• Matteo Tarantino. Detecting the Unknown in Object Detection. Rel. Barbara Caputo, Fabio Cermelli, Dario Fontanel. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
• Giulia Tortoioli. Learning Constraints in Robot Trajectories. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
  

  

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• Linda Ludovisi. Learning Task Oriented Grasp for objects of common use. Rel. Barbara Caputo, Giuseppe Bruno Averta, Fabio Cermelli. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
  

  

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• Antonino Geraci. Modeling the background in Incremental Object Detection. Rel. Barbara Caputo, Fabio Cermelli, Dario Fontanel, Marcello Restelli. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
  

  

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• Mauro Musarra. Relaxing the Forget Constraints in Open World Recognition. Rel. Barbara Caputo, Dario Fontanel, Fabio Cermelli. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022

29 July 2022

• Riccardo Zaccone. Leveraging Relative-Norm-Alignment in higher norm feature space for Cross-Domain First Person Action Recognition. Rel. Barbara Caputo, Mirco Planamente, Chiara Plizzari. Politecnico di Torino, Master of science program in Computer Engineering, 2022
  

  

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• Antonio Dimitris Defonte. Synthetic-to-Real Domain Transfer with Joint Image Translation and Discriminative Learning for Pedestrian Re-Identification. Rel. Barbara Caputo, Mirko Zaffaroni. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
  

  

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4 October 2022

• Simonetta Bodojra. Wildfire Risk Evaluation using Machine Learning Techniques on Satellite Multispectral Data. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Mathematical Engineering, 2022
  

  

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28 October 2022

• Simone Alberto Peirone. EGO-T^3: Test Time Training for Egocentric videos. Rel. Barbara Caputo, Mirco Planamente, Chiara Plizzari. Politecnico di Torino, Master of science program in Computer Engineering, 2022
  

  

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• Claudia Cuttano. Enabling Unsupervised Domain Adaptation in Semantic Segmentation from Deep to Lightweight Model. Rel. Barbara Caputo, Antonio Tavera. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
  

  

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20 December 2022

• Andrea Silvi. Sequential to Parallel Federated Learning with Semantic-Aware Client Groupings. Rel. Barbara Caputo, Debora Caldarola, Marco Ciccone. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
• Andrea Rizzardi. Speeding up convergence while preserving privacy in Heterogeneous Federated Learning. Rel. Barbara Caputo, Debora Caldarola, Marco Ciccone. Politecnico di Torino, Master of science program in Data Science And Engineering, 2022
  

  

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21 April 2023

• Juan Manuel Aragon Armas. Approaching visual geo-localization through classification. Rel. Barbara Caputo, Carlo Masone. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
  

  

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• Mohamad Mostafa. Re-ranking methods for visual geo-localization with domain shift. Rel. Barbara Caputo. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
  

  

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• Julian Neubert. Source-Free Domain Adaptation for Video Action Recognition. Rel. Barbara Caputo, Chiara Plizzari, Mirco Planamente. Politecnico di Torino, Master of science program in Computer Engineering, 2023
  

  

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28 July 2023

• Mattia Dutto. Federated Visual Geo-Localization. Rel. Barbara Caputo, Carlo Masone, Debora Caldarola, Eros Fani', Gabriele Moreno Berton. Politecnico di Torino, Master of science program in Computer Engineering, 2023
• Francesco Capuano. OSCAR: Optimizing Architecture Search with Constraints-Aware Deep Reinforcement Learning. Rel. Barbara Caputo, Giuseppe Bruno Averta, Marcello Restelli. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
• Gabriele Rosi. Towards universal lightweight models for image segmentation. Rel. Giuseppe Bruno Averta, Fabio Cermelli, Barbara Caputo, Antonio Tavera. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
  

27 October 2023

• Giovanni Calleris. Structured Pruning for Efficient Convolutional Networks. Rel. Giuseppe Bruno Averta, Barbara Caputo, Fabio Cermelli, Claudia Cuttano. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
  

  

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15 December 2023

• Pietro Cagnasso. Efficiency and Generalization in Federated Learning: Insights from Sharpness-Aware Minimization. Rel. Barbara Caputo, Debora Caldarola, Marco Ciccone. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023
• Luca Marcellino. Visual Transformers for Federated Learning: Exploring the Role of Architecture Layers in Generalization Enhancement. Rel. Barbara Caputo, Debora Caldarola, Marco Ciccone. Politecnico di Torino, Master of science program in Data Science And Engineering, 2023

31 October 2024

• Emanuele Pinna. Applicazioni dell'Intelligenza Artificiale Generativa tramite Latent Diffusion per l'Explainability nella Geolocalizzazione = Applications of Generative AI via Latent Diffusion for Explainability in Geolocalization. Rel. Carlo Masone, Gabriele Moreno Berton, Barbara Caputo, Gabriele Trivigno. Politecnico di Torino, Master of science program in Data Science And Engineering, 2024
  

  

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• Davide Leo. Federated Learning: Tackling Heterogeneous Network Challenges in Distributed Deep Learning. Rel. Barbara Caputo, Marco Ciccone, Eros Fani'. Politecnico di Torino, Master of science program in Data Science And Engineering, 2024

24 October 2025

• Claudio Macaluso. Adapting Vision-Language Models for Open-Vocabulary Object Detection through Prompt Learning. Rel. Barbara Caputo, Fabio Cermelli, Gabriele Rosi. Politecnico di Torino, Master of science program in Computer Engineering, 2025
  

  

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